AI Phone - Agentic Engineer

ActAI; United States; On-site; USD 120,000 - 190,000; Full time

Job summary

ActAI is reimagining AI-enabled phones and proactive applications to bring intelligent workflows into daily conversations. The team is building agents with memory, orchestration, and multi-step task execution while integrating local and cloud models for robust performance.

The role focuses on backend/AI application engineering, with emphasis on Python/Go/TypeScript, LLM APIs, and scalable distributed systems to deliver low-cost, high-value AI solutions.

Qualifications

• Strong backend or AI application engineering experience.
• Proficiency in Python, Go or TypeScript.
• Experience with LLM APIs and tool calling.
• Experience building AI applications or agent workflows.
• Strong API and distributed systems knowledge.
• Good understanding of state management and asynchronous execution.

Responsibilities

• Implement agent workflows and orchestration.
• Build integrations with different tools and applications.
• Develop context retrieval and memory mechanisms.
• Implement multi-step task execution.
• Support long-running workflows and state management.
• Improve agent reliability and execution accuracy.
• Integrate local and cloud model providers.
• Build evaluation and regression tests for agent workflows.

Skills

Backend engineering

AI applications

LLM APIs

Tool calling

Distributed systems

Async execution

Python/Go/TypeScript

Job description

We are reimagining the phone. AI phones need to be proactive, intuitive, intelligent and low cost. This is a mission critical for rest of the world to adopt intelligence.

There are over 5 billion people using everyday applications such as email, messaging, notes, tasks, and calendars, yet most are not AI-native. Our mission is to build proactive applications and devices that bring intelligence into daily conversations, coordination and workflows, with minimal prompting.

Focus: Building agent capabilities, context, memory and orchestration.

About

We are reimagining the phone. AI phones need to be proactive, intuitive, intelligent and low cost. This is a mission critical for rest of the world to adopt intelligence.

There are over 5 billion people using everyday applications such as email, messaging, notes, tasks, and calendars, yet most are not AI-native. Our mission is to build proactive applications and devices that bring intelligence into daily conversations, coordination and workflows, with minimal prompting.

Responsibilities

• Implement agent workflows and orchestration.
• Build integrations with different tools and applications.
• Develop context retrieval and memory mechanisms.
• Implement multi-step task execution.
• Support long-running workflows and state management.
• Improve agent reliability and execution accuracy.
• Integrate local and cloud model providers.
• Build evaluation and regression tests for agent workflows.

Requirements

• Strong backend or AI application engineering experience.
• Python, Go or TypeScript.
• Experience with LLM APIs and tool calling.
• Experience building AI applications or agent workflows.
• Strong API and distributed systems knowledge.
• Good understanding of state management and asynchronous execution.

Nice to have

• Production agent infrastructure.
• RAG, memory and context engineering.
• Model routing and inference optimization.
• Experience with mobile or operating-system integrations.